Sentence examples for for their approximation from inspiring English sources

These are lengths that no ruler can measure, and even asking for their approximation is a way of foolishly telling ourselves that a human situation is as simple a geometry problem: if we only sit down and concentrate, we can solve it.

For their approximation use has been made of the Response Surface Method (RSM) and, more recently, of Neural Networks.

The aim of this article is to discuss the existence of weak solutions to the Neumann boundary value problem (1.1 - 1.2 1.1 - 1.2ose anday for their aproposeation.

On each decomposition step of the EMD, the upper and lower envelops are initially unknown; thus, an interactive SP is applied for their approximation to obtain the IMFs and the residue, the 1D-EMD scheme is fully described in [1].

As a consequence, we obtain the sufficient conditions of the existence of weak solutions to the given class of non-linear Neumann BVPs and propose a way for their approximation.

By virtue of their approximation capabilities for nonlinear mappings, the feed-forward neural networks (FNN) have become ideal classifiers in many applications.

Given any two approximation sets X i and X j in the approximation space A ij =(U ij,R), we observe the following properties for the intersection of their approximations [7]: A inf(X i )∩A inf(X j ) =A inf(X i ∩X j ) and A sup(X i )∩A sup(X j )⊇A sup(X i ∩X j ).

We may recall that polynomial neural networks (including QNU) are attractive due to the reliable theoretical results for their universal approximation abilities according to the Weierstrass theorem and for their generalization power measured by the Vapnik-Chervonenkis (VC) dimension [ 27].

The perimeter of the homestead, being that area utilised by the house for domestic activity (therefore excluding cropped fields), was tracked by walking along the boundary and if there was no discernible boundary the homestead members were asked for their best approximation of where their homestead perimeter lay.

When applying fuzzy systems for data analysis, their approximation and interpretation capabilities are two important aspects.

Here we deal with their application to flows bounded by solid walls, discussing in particular the boundary conditions for vorticity and their approximation.